Emily Trimm

2.1k citations
6 papers · 592 · 1 hit paper · h-index 5

Impact in

    • Microtubule and mitosis dynamics
    • Angiogenesis and VEGF in Cancer
    • Genomics and Chromatin Dynamics
    • Congenital heart defects research
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics

Papers in

    • Genomics and Chromatin Dynamics 2
    • Angiogenesis and VEGF in Cancer 2
    • Single-cell and spatial transcriptomics 2
    • Congenital heart defects research 1
    • Chromosomal and Genetic Variations 4

Emily Trimm

6 papers receiving 591 citations

Emily Trimm's Hit Papers

Vascular endothelial cell development and diversity 2022 · 302 citations
3020+1+2Years since publication100200300

Peers

Emily Trimm
Comparison fields: 5 of 76
  • Cell Biology 101
  • Molecular Biology 322
  • Plant Science 175
  • Genetics 111
  • Cancer Research 44
Replace Marjan M. Tajrishi with:
Marjan M. Tajrishi United States
M. Carmen Valero United States
Jeiwook Chae United States
Louise Hyslop United Kingdom
Zi Yan United States
Shijie Li China
Mitsuhiro Suzuki Japan
Alexander S. Garrett United States
Michelle Percharde United Kingdom
Emily Trimm relative to Marjan M. Tajrishi United States Marjan M. Tajrishi's profile →
Citations per field
00.5×5.8×
Marjan M. Tajrishi · 1×
Citations per year

Countries citing papers authored by Emily Trimm

Since Specialization
Citations

This map shows the geographic impact of Emily Trimm's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emily Trimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Trimm more than expected).

Fields of papers citing papers by Emily Trimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily Trimm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emily Trimm. The network helps show where Emily Trimm may publish in the future.

Co-authors

The 23 scholars most cited alongside Emily Trimm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emily Trimm Line = papers co-authored together Emily Trimm links everyone, so they are left out of the graph.

All Works

About Emily Trimm

Emily Trimm is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 592 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Microtubule and mitosis dynamics (3 papers), Genomics and Chromatin Dynamics (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Evolution and Genetic Dynamics (2 papers), Single-cell and spatial transcriptomics (2 papers), Reproductive Biology and Fertility (1 paper) and Congenital heart defects research (1 paper). The work is most often cited by research in Cell Biology (101 citations), Molecular Biology (322 citations), Plant Science (175 citations), Genetics (111 citations) and Cancer Research (44 citations). Emily Trimm has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Kristy Red‐Horse, Takashi Akera, Michael A. Lampson, Carsten Janke, Chanat Aonbangkhen, Lukáš Chmátal, David M. Chenoweth, Richard M. Schultz, Karren Yang and Mingming Zhao. Their work appears in journals such as Circulation Research, Current Biology, Science, Cell and Nature Reviews Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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